Rosoldi, Marco

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  • Rosoldi, Marco (1)
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Author's Bibliography

Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust

Cvetkovic, Bojan; Dagsson-Waldhauserová, Pavla; Petkovic, Slavko; Arnalds, Ólafur; Madonna, Fabio; Proestakis, Emmanouil; Gkikas, Antonis; Vukovic Vimic, Ana; Pejanovic, Goran; Rosoldi, Marco; Ceburnis, Darius; Amiridis, Vassilis; Lisá, Lenka; Nickovic, Slobodan; Nikolic, Jugoslav

(2022)

TY  - JOUR
AU  - Cvetkovic, Bojan
AU  - Dagsson-Waldhauserová, Pavla
AU  - Petkovic, Slavko
AU  - Arnalds, Ólafur
AU  - Madonna, Fabio
AU  - Proestakis, Emmanouil
AU  - Gkikas, Antonis
AU  - Vukovic Vimic, Ana
AU  - Pejanovic, Goran
AU  - Rosoldi, Marco
AU  - Ceburnis, Darius
AU  - Amiridis, Vassilis
AU  - Lisá, Lenka
AU  - Nickovic, Slobodan
AU  - Nikolic, Jugoslav
PY  - 2022
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6184
AB  - Icelandic topsoil sediments, as confirmed by numerous scientific studies, represent the largest and the most important European source of mineral dust. Strong winds, connected with the intensive cyclonic circulation in the North Atlantic, induce intense emissions of mineral dust from local sources all year and carry away these fine aerosol particles for thousands of kilometers. Various impacts of airborne mineral dust particles on local air quality, human health, transportation, climate and marine ecosystems motivated us to design a fully dynamic coupled atmosphere–dust numerical modelling system in order to simulate, predict and quantify the Icelandic mineral dust process including: local measurements and source specification over Iceland. In this study, we used the Dust Regional Atmospheric Model (DREAM) with improved Icelandic high resolution dust source specification and implemented spatially variable particle size distribution, variable snow cover and soil wetness. Three case studies of intense short- and long-range transport were selected to evaluate the model performance. Results demonstrated the model’s capability to forecast major transport features, such as timing, and horizontal and vertical distribution of the processes. This modelling system can be used as an operational forecasting system, but also as a reliable tool for assessing climate and environmental Icelandic dust impacts. © 2022 by the authors.
T2  - Atmosphere
T2  - Atmosphere
T1  - Fully Dynamic High–Resolution Model for Dispersion of
Icelandic Airborne Mineral Dust
IS  - 9
VL  - 13
DO  - 10.3390/atmos13091345
ER  - 
@article{
author = "Cvetkovic, Bojan and Dagsson-Waldhauserová, Pavla and Petkovic, Slavko and Arnalds, Ólafur and Madonna, Fabio and Proestakis, Emmanouil and Gkikas, Antonis and Vukovic Vimic, Ana and Pejanovic, Goran and Rosoldi, Marco and Ceburnis, Darius and Amiridis, Vassilis and Lisá, Lenka and Nickovic, Slobodan and Nikolic, Jugoslav",
year = "2022",
abstract = "Icelandic topsoil sediments, as confirmed by numerous scientific studies, represent the largest and the most important European source of mineral dust. Strong winds, connected with the intensive cyclonic circulation in the North Atlantic, induce intense emissions of mineral dust from local sources all year and carry away these fine aerosol particles for thousands of kilometers. Various impacts of airborne mineral dust particles on local air quality, human health, transportation, climate and marine ecosystems motivated us to design a fully dynamic coupled atmosphere–dust numerical modelling system in order to simulate, predict and quantify the Icelandic mineral dust process including: local measurements and source specification over Iceland. In this study, we used the Dust Regional Atmospheric Model (DREAM) with improved Icelandic high resolution dust source specification and implemented spatially variable particle size distribution, variable snow cover and soil wetness. Three case studies of intense short- and long-range transport were selected to evaluate the model performance. Results demonstrated the model’s capability to forecast major transport features, such as timing, and horizontal and vertical distribution of the processes. This modelling system can be used as an operational forecasting system, but also as a reliable tool for assessing climate and environmental Icelandic dust impacts. © 2022 by the authors.",
journal = "Atmosphere, Atmosphere",
title = "Fully Dynamic High–Resolution Model for Dispersion of
Icelandic Airborne Mineral Dust",
number = "9",
volume = "13",
doi = "10.3390/atmos13091345"
}
Cvetkovic, B., Dagsson-Waldhauserová, P., Petkovic, S., Arnalds, Ó., Madonna, F., Proestakis, E., Gkikas, A., Vukovic Vimic, A., Pejanovic, G., Rosoldi, M., Ceburnis, D., Amiridis, V., Lisá, L., Nickovic, S.,& Nikolic, J.. (2022). Fully Dynamic High–Resolution Model for Dispersion of
Icelandic Airborne Mineral Dust. in Atmosphere, 13(9).
https://doi.org/10.3390/atmos13091345
Cvetkovic B, Dagsson-Waldhauserová P, Petkovic S, Arnalds Ó, Madonna F, Proestakis E, Gkikas A, Vukovic Vimic A, Pejanovic G, Rosoldi M, Ceburnis D, Amiridis V, Lisá L, Nickovic S, Nikolic J. Fully Dynamic High–Resolution Model for Dispersion of
Icelandic Airborne Mineral Dust. in Atmosphere. 2022;13(9).
doi:10.3390/atmos13091345 .
Cvetkovic, Bojan, Dagsson-Waldhauserová, Pavla, Petkovic, Slavko, Arnalds, Ólafur, Madonna, Fabio, Proestakis, Emmanouil, Gkikas, Antonis, Vukovic Vimic, Ana, Pejanovic, Goran, Rosoldi, Marco, Ceburnis, Darius, Amiridis, Vassilis, Lisá, Lenka, Nickovic, Slobodan, Nikolic, Jugoslav, "Fully Dynamic High–Resolution Model for Dispersion of
Icelandic Airborne Mineral Dust" in Atmosphere, 13, no. 9 (2022),
https://doi.org/10.3390/atmos13091345 . .
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